OmicsFormer Analysis Report

Model Information

Model Type: AdvancedMultiOmicsTransformer

Device: cpu

Analysis Summary

Attention Patterns Extracted: []

Embeddings Extracted: ['pooled']

Feature Importance Analysis: ['genomics', 'transcriptomics', 'proteomics', 'metabolomics']

Analysis Visualizations

Omicsformer_Embeddings_Pca

Omicsformer_Embeddings_Pca

Omicsformer_Embeddings_Tsne

Omicsformer_Embeddings_Tsne

Omicsformer_Embeddings_Umap

Omicsformer_Embeddings_Umap

Omicsformer_Feature_Importance_Genomics

Omicsformer_Feature_Importance_Genomics

Omicsformer_Feature_Importance_Transcriptomics

Omicsformer_Feature_Importance_Transcriptomics

Omicsformer_Feature_Importance_Proteomics

Omicsformer_Feature_Importance_Proteomics

Omicsformer_Feature_Importance_Metabolomics

Omicsformer_Feature_Importance_Metabolomics

Omicsformer_Pathways_Genomics

Omicsformer_Pathways_Genomics

Omicsformer_Pathways_Transcriptomics

Omicsformer_Pathways_Transcriptomics

Omicsformer_Pathways_Proteomics

Omicsformer_Pathways_Proteomics

Omicsformer_Pathways_Metabolomics

Omicsformer_Pathways_Metabolomics

Omicsformer_Distributions

Omicsformer_Distributions

Training_History

Training_History

Recommendations

Use attention visualizations to understand cross-modal interactions
Analyze feature importance to identify key biomarkers
Use embedding visualizations for sample clustering analysis
Consider correlation analysis for modality relationship insights